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Python lessons in Zürich

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6 python teachers in Zürich

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6 python teachers in Zürich

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(6 reviews)
Hamza - Tangier, MoroccoRecently active16Fr
16FrMaîtrisez Python avec un Expert en Programmation et Data Science
Trusted teacher: Découvrez la puissance de Python avec un formateur expérimenté en informatique ! Je suis Hamza, un développeur passionné et mentor chevronné avec une vaste expérience dans l'enseignement de la programmation. Mon approche pédagogique unique vous permettra d'acquérir rapidement des compétences solides en Python, tout en découvrant ses applications concrètes dans le monde professionnel. Ce que vous apprendrez : Fondamentaux de Python (variables, structures de contrôle, fonctions) Programmation orientée objet avancée Analyse et visualisation de données avec pandas et matplotlib Développement d'interfaces graphiques avec PyQt Projets pratiques inspirés de cas réels en entreprise Pourquoi me choisir ? Plus de 5 ans d'expérience en formation et mentorat Méthode pédagogique adaptée à tous les niveaux Approche hands-on basée sur des projets concrets Passion contagieuse pour le code et l'innovation technologique Que vous soyez débutant cherchant à vous lancer dans la programmation ou professionnel souhaitant monter en compétences, ce cours vous ouvrira de nouvelles perspectives passionnantes dans le monde du développement logiciel et de la data science. Rejoignez-moi pour un voyage captivant au cœur du langage de programmation le plus polyvalent et demandé du marché ! Réservez maintenant et faites le premier pas vers la maîtrise de Python. Votre carrière en tant que développeur Python commence ici !
Python · Computer science · Computer programming
Mourad - CanadaRecently active33Fr
33FrQuick engineering using python and Large Language Models (LLMs)
Trusted teacher: ### Course Description: Prompt Engineering using Python and LLMs Unlock the power of Large Language Models (LLMs) with our beginner-friendly course, "Prompt Engineering using Python and LLMs." This course is designed to introduce you to the fundamentals of prompt engineering, equipping you with the skills needed to craft effective prompts and leverage the capabilities of LLMs for various applications. #### Course Objectives: - **Introduction to Prompt Engineering:** Understand the basics of prompt engineering and its significance in utilizing LLMs. - **Python for Prompt Engineering:** Learn essential Python programming skills tailored for prompt engineering tasks. - **Harnessing LLMs:** Discover how to use LLMs to generate, manipulate, and analyze text based on your crafted prompts. - **Practical Applications:** Apply your knowledge through hands-on projects and real-world scenarios to build practical solutions. #### Course Outline: 1. **Introduction to Prompt Engineering:** - What is prompt engineering? - Importance and applications of prompt engineering - Overview of Large Language Models (LLMs) and their capabilities 2. **Python Essentials for Prompt Engineering:** - Basic Python programming concepts - Key Python libraries for text processing - Setting up your development environment 3. **Crafting Effective Prompts:** - Understanding prompt structure and components - Techniques for creating clear and concise prompts - Examples of effective prompts for various tasks 4. **Interacting with LLMs:** - Introduction to popular LLMs (eg, GPT-3, GPT-4) - Using APIs to interact with LLMs - Generating text responses based on your prompts 5. **Advanced Prompt Techniques:** - Handling complex queries and multi-step instructions - Refining prompts for improved accuracy and relevance - Using prompts for different applications (eg, content generation, data analysis) 6. **Practical Projects:** - Building a text generation application - Creating a chatbot using prompt engineering techniques - Developing a data extraction tool using LLMs 7. **Ethical Considerations and Best Practices:** - Ensuring ethical use of LLMs and prompt engineering - Best practices for responsible AI development - Avoiding common pitfalls and challenges 8. **Future Directions and Further Learning:** - Exploring advanced topics in prompt engineering - Keeping up with the latest advancements in LLMs - Resources for continued learning and development #### Who Should Enroll: - Beginners with no prior experience in prompt engineering or LLMs - Individuals interested in learning Python programming - Aspiring AI enthusiasts looking to explore the potential of LLMs #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or AI experience required #### Race Outcomes: By the end of this course, you will be able to: - Understand the fundamentals of prompt engineering - Write and execute Python code for prompt engineering tasks - Create effective prompts to interact with LLMs - Develop practical applications using LLMs - Apply ethical considerations and best practices in your work Join us in "Prompt Engineering using Python and LLMs" to embark on your journey into the world of AI and prompt engineering. Gain the skills and confidence needed to create impactful solutions and unlock the full potential of Large Language Models.
Python · Computer programming
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(7 reviews)
Join - Paris, France26Fr
26FrPersonalized tutoring for learning how to write code and program using the Python computer language.
Trusted teacher: Personalized Tutoring for Learning Coding and Programming in Python This online tutoring program is designed to provide you with personalized learning in computer programming with the Python language. Whether you are a complete beginner, a student looking to deepen your knowledge, or a professional eager to master Python, this course adapts to your level and specific needs. By covering the fundamentals of programming, advanced data structures, and complex problem solving, this tutoring will help you acquire the skills needed to excel in software development, data analysis, and artificial intelligence. --- Why choose this program? - Personalized approach: Each session is perfectly adapted to your specific needs and your learning pace. You have the opportunity to ask questions at any time and benefit from personalized follow-up between each session. - Interactive methodology: Practical learning with concrete exercises, case studies and real projects to allow you to directly apply theoretical concepts. - Flexibility of formats: Choose between 60, 90 or 120 minute classes depending on your goals and schedule. - Practice-oriented course: Programming is a field that is learned by doing, each course includes a large part of practice to consolidate the acquired knowledge. --- Course content: Beginner level: 1. Introduction to Python: - Basic syntax, data types (integers, strings, lists, dictionaries, etc.). - Control structures: conditions (if, else), loops (for, while). - Functions and arguments: creation and use of functions. 2. Object-oriented programming (OOP): - Introduction to OOP: classes, objects, attributes and methods. - Encapsulation, inheritance, polymorphism and abstraction. - Implementation of OOP in simple projects. 3. Introduction to file management: - Reading and writing text and CSV files. - Data manipulation for real applications. --- Intermediate level: 1. Advanced data structures: - Advanced lists, stacks, queues and dictionaries. - Algorithm concepts: sorting, searching, algorithmic complexity. - Use of Python libraries: NumPy, Pandas for data manipulation. 2. Error and exception handling: - Introduction to exceptions and error handling in Python. - Creation of custom error messages and handling of common exceptions. 3. Practical projects: - Development of medium-sized projects, such as simple games or data management applications. - Solving real-world problems, such as analyzing data from external files. --- Advanced level: 1. Advanced Libraries and Practical Applications: - Introduction to libraries for web development (Flask, Django) and data analysis (Matplotlib, Seaborn). - Applications of Python in artificial intelligence and machine learning with libraries like TensorFlow or scikit-learn. - Implementation of complex projects using data analysis and visualization tools. 2. Code optimization: - Techniques to improve the performance of Python code. - Memory management and algorithm optimization. 3. Advanced projects: - Development of complex projects in Python such as web applications, data analysis or large-scale data processing tools. --- Course schedule: - 60 minutes: Ideal for tackling a specific topic, working on an exercise or exploring a concept in a targeted manner. - 90 minutes: Allows for a more in-depth exploration of concepts, with concrete examples and interactive exercises. - 120 minutes: Intensive format for revisions, completing complete projects or studying more advanced concepts. Each session includes: 1. Theoretical introduction: Quick review of key concepts or introduction to new topics. 2. Live Practice: Applying concepts with exercises or code in real time, allowing for active learning. 3. Projects: Construction of real projects to put into practice the knowledge acquired. 4. Questions and answers: Time dedicated to clarifying difficult points or problems encountered during the session. --- Resources and tools provided: - Teaching materials: Detailed course documents, practical exercises, projects to complete. - Interactive platform: Use of digital whiteboards, screen sharing to visualize code, and real-time collaboration tools. - Personalized monitoring: You can ask questions outside of class, receive feedback on your projects and benefit from progress monitoring. --- About the trainer: A Python programming expert with several years of experience in teaching and practicing software development. With clear and practice-oriented pedagogy, the trainer will help you move from beginner to intermediate or improve your skills if you are already familiar with the Python language. --- Book your course now! If you want to learn Python programming in an efficient, flexible and practical way, this tutorial is for you. Sign up today to start coding with confidence and progress quickly!
Python · Computer programming · Algorithms
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Our students from Zürich evaluate their Python teacher.

To ensure the quality of our Python teachers, we ask our students from Zürich to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 168 reviews.

Private coding / programming lessons with python (Paris)
Matías
Highly recommended teacher!!! Matias teaching methods are great. Very clear and concise. Doesn’t waste your time explaining meaningless background information and always lectures with the intent to help you understand the material. He’s helped me understand content for my master course on Python and is one of the best lecturers that I’ve had. Your passion and dedication is beyond words! Thank you for getting me through this hard quick semester, I honestly would have never passed if it was not for your help! Thank you so much once again!
Review by JURIS
Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school students (Casablanca)
Amin
So far, I've been getting help with my IGCSE 's in Math and Computer Science with Amin. In most of the lessons I've been with him, he's been really helpful and responsible. He has also been very patient. He helps me become more confident in my answers and makes the lessons pretty fun! After my lessons with him, I do understand my topics more and am able to go to my classes in school without feeling lost. If you're ever struggling with Physics or Programming, I'm sure he can help you too :)
Review by MANIJ
Python, SQL and/or Machine/Deep Learning Classes at your place or Online! (Lucerne)
Benito
I highly recommend Benito as a teacher for Machine Learning and Python! Benito is very patient and has exceptional teaching skills, which combined with his expertise in both theory and practical applications makes every lesson very enjoyable. He explains complex machine learning topics using real-life examples, ensuring that learning is comprehensive and intuitive. Top!
Review by HURIYE

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